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Related Articles from SNS
Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach
arXiv:2603.24747v2 Announce Type: replace Abstract: The emergence of large language model agents capable of invoking external tools has created urgent need for formal verification of agent protocols. Two paradigms dominate this space: Schema-Guided Dialogue (SGD), a research framework for zero-shot API generalization, and the Model Context Protocol (MCP), an industry standard for agent-tool integration. While both enable dynamic service discovery through schema descriptions, their formal...
R+R: Reassessing Java Security API Misuse in Current LLMs: A Replication on JCA and JSSE APIs with External Security Knowledge
new Abstract: The misuse of Java security APIs is a serious security problem in software development. Research in 2024 has shown that this problem is widespread in LLM-generated code. However, it remains unclear whether this phenomenon persists in current models and how external security knowledge affects it.
Framing Migration News with LLMs: Structured CoT as a Support for Human Interpretation
Announce Type: new Abstract: Frame analysis of migration news is a socially consequential task: media scholars and researchers who study how migration is narrated need tools that are not only accurate, but transparent, auditable, and accessible within the resource constraints typical of academic research groups. Existing LLM-based approaches rely on proprietary APIs and large models that raise concerns about data privacy, reproducibility and equitable access among media researchers. This...
Appraisal Dimensions Generalise Better than Emotion Labels for Cross-Age Affect Recognition in AI-Assisted Healthcare
arXiv:2604.27938v2 Announce Type: replace Abstract: The integration of artificial intelligence (AI) into healthcare has advanced significantly, yet affect recognition remains a major challenge, particularly in AI-assisted interventions such as Computerized Cognitive Training (CCT). The THERADIA-WoZ corpus was developed to enable multimodal affect recognition in the context of AI-driven CCT, focusing on an older adult population. This study extends the corpus by introducing a dataset...
Interpreto: An Explainability Library for Transformers
arXiv:2512.09730v3 Announce Type: replace Abstract: Interpreto is an open-source Python library for interpreting HuggingFace language models, from early BERT variants to LLMs. It provides two complementary families of methods: attribution methods and concept-based explanations. The library bridges recent research and practical tooling by exposing explanation workflows through a unified API for both classification and text generation.
A Russian speaker and jailbroken Gemini went on a hacking spree and emptied at least one MAGA victim's crypto wallets
A Russian-speaking threat actor used a jailbroken Google Gemini to run a sophisticated fraud campaign targeting MAGA and QAnon communities. The attacker impersonated an American veteran, used AI-generated content to build a Telegram channel, and deployed malware to steal cryptocurrency from victims. This operation highlights the growing sophistication of cybercrime when weaponized large language models are employed.
Security-First Approach to API Pipeline Development with Zero-Trust Architecture
arXiv:2606.09062v1 Announce Type: new Abstract: Modern enterprises face an accelerating onslaught of API-targeted threats amid a rapidly expanding attack surface. Record volumes of software vulnerabilities continue to accelerate dramatically, with 28,818 CVEs disclosed in 2023 (a 38% jump from 2022) and 40,009 CVEs in 2024 (another 38% increase), while the average time-to-exploit (TTE) of new flaws shrank to mere days (approximately 5 days in 2023, down from 32 days in 2021). At the same...
The Great Data Standoff: Researchers vs. Platforms Under the Digital Services Act
arXiv:2505.01122v3 Announce Type: replace Abstract: To facilitate accountability and transparency, the Digital Services Act (DSA) sets up a process through which Very Large Online Platforms (VLOPs) need to grant vetted researchers access to their internal data (Article 40(4)). Operationalising such access is challenging for at least two reasons. First, data access is only available for research on systemic risks affecting European citizens, a concept with high levels of legal uncertainty.
Odysseus – self-hosted AI workspace
─────────────────────────────────────────────── ⊹ ࣪ ˖ ૮( ˶ᵔ ᵕ ᵔ˶ )っ Odysseus vers. 1.0 ─────────────────────────────────────────────── A self-hosted AI workspace -- meant to be the self-hosted version of the UI experience you get from ChatGPT and Claude. But with more jank and fun.